Sr. Scientific Software Engineer

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field, with 5+ years of experience in scientific or research-driven environments.
• Previous experience making research code production ready.
• Extensive knowledge of software validation, quality systems, and compliance standards (ISO 13485, IEC 62304)
• Expertise in Python
• Strong background in cloud computing (AWS and Google Cloud), particularly in scalable and distributed system design.
• Hands-on experience with Nextflow, their workflow automation tool, and containerization technology Docker.

Desired:

• Previous work in start-up environments, demonstrating adaptability to fast-moving and evolving priorities.
• Ability to work autonomously with minimal oversight—this role requires a self-starter who can immediately contribute.
• Strong team player with excellent communication and collaboration skills.

Responsibilities:

• Work closely with bioinformatics and research teams to develop software solutions that meet biological and scientific objectives.
• Translate scientific needs into scalable and compliant software that aligns with research goals.
• Assist in the implementation and optimization of bioinformatics algorithms alongside cross-functional teams.
• Develop and maintain high-performance data processing pipelines using Nextflow and other workflow tools.
• Design and deploy scalable cloud-based solutions for data storage and computational analysis.
• Promote best practices in software engineering, including automated testing, CI/CD, and version control strategies.
• Ensure regulatory compliance and quality assurance by contributing to validation, testing, and documentation efforts.